The Math of Neural Networks by Michael Taylor & Mark Koning

Author:Michael Taylor & Mark Koning [Taylor, Michael]
Language: eng
Format: azw3
Publisher: Blue Windmill Media
Published: 2017-09-07T04:00:00+00:00

If the relative error is small enough to be acceptable, the computed gradient is considered valid and passes the test.

Ch. 8

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Stage 5: Updating the Weights

The goal of Stage 5 is to update the weights in a neural network. This is accomplished by continuing to apply the backpropagation we began in Stage 3 by using the gradients we calculated in Stage 3 through an optimization process known as gradient descent. That's a mouthful - but don't worry, we will unpack it all below.

This stage is organized into four sections:

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